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Night Shift Data Annotation Tech Jobs (NOW HIRING)

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Night Shift Data Annotation Tech information

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$12

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$34

How much do night shift data annotation tech jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for night shift data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

Are the data annotation jobs real?

Night Shift Data Annotation Tech positions are real jobs involving labeling data for machine learning models, often requiring attention to detail and familiarity with annotation tools. These roles are commonly found in tech companies and may require working during night hours or on a flexible schedule.

What are some common challenges faced by Night Shift Data Annotation Techs and how can they be managed?

Night Shift Data Annotation Techs often encounter challenges such as maintaining focus during late hours and managing fatigue. Working overnight can require extra attention to detail to avoid errors, especially when handling large volumes of data. Many professionals address these challenges by establishing consistent sleep schedules, taking short breaks to stay alert, and using productivity tools to track progress. Additionally, strong communication with team members and supervisors during shift overlaps ensures smooth handoffs and clarifies any ambiguities in annotation guidelines.

What are the key skills and qualifications needed to thrive as a Night Shift Data Annotation Tech, and why are they important?

To thrive as a Night Shift Data Annotation Tech, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet tools, and sometimes workflow management systems is typically required. Reliability, self-motivation, and effective time management are crucial soft skills for working independently during overnight hours. These skills and qualities ensure consistent, accurate data labeling that supports machine learning projects and meets tight deadlines.

Can I do data annotation with no experience?

Night Shift Data Annotation Tech roles typically do not require prior experience, as training is often provided to teach specific annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with data labeling processes can improve efficiency over time.

What is the difference between Night Shift Data Annotation Tech vs Night Shift Data Labeler?

AspectNight Shift Data Annotation TechNight Shift Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or on-siteData labeling tasks, often remote or on-site
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles
Job FocusAnnotating data for training AI modelsLabeling data to improve AI accuracy

Both roles involve working with data to support AI development, often in similar environments. The main difference is that Data Annotation Tech may focus more on using specialized tools and platforms, while Data Labelers may perform more straightforward labeling tasks. Both positions require attention to detail and are essential in AI training processes.

What are Night Shift Data Annotation Techs?

Night Shift Data Annotation Techs are professionals who work overnight hours to label, tag, or categorize data—such as images, audio, or text—for use in machine learning and artificial intelligence systems. Their work ensures that data sets are accurate and well-organized so that algorithms can be trained effectively. These technicians often use specialized software tools and must pay close attention to detail. Working the night shift may involve supporting 24/7 operations, meeting tight deadlines, or collaborating remotely with global teams.

How much does a data annotation tech make per hour?

A night shift data annotation technician typically earns between $12 and $20 per hour, depending on experience, location, and the complexity of annotation tasks. Pay rates may also vary based on the employer and whether the role is freelance or full-time, with some positions offering additional shift differentials for overnight work.

How hard is it to get a job with data annotation tech?

Getting a job as a data annotation technician generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making them accessible to a wide range of applicants, though competition can vary based on demand and location.
More about Night Shift Data Annotation Tech jobs
Infographic showing various Night Shift Data Annotation Tech job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Data Annotation Specialist (Contractor)

Collectorsuniverse

Santa Ana, CA • Hybrid

$25 - $30/hr

Full-time

Re-posted 15 days ago


Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We're always on the lookout for talented people to join our growing team.


Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.


Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, and France.


As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.


We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.


We're looking for a Data Annotation Specialist contractor who can work full-time (40 hours per week) for an 8-week on-site (Santa Ana) contract assignment with our AI/ML Team. As a Data Annotation Specialist, you will support a high-priority initiative focused on building high-quality training data for our machine learning models. Your work will involve reviewing images, following detailed labeling guidelines, and accurately annotating data within our internal software. You will be motivated to reach your goals and deadlines as you focus on accurately labeling, tagging, and categorizing large datasets.

You'll report to AI/ML Director and work from our Santa Ana, CA office headquarters.

Onsite Requirement:

This role requires you to be onsite in the office 5 days per week.

What You'll Do:

  • Prepare and annotate large volumes of data with precision, efficiency, and within project timelines

  • Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines

  • Perform quality control checks to maintain high levels of annotation accuracy

  • Communicate effectively with stakeholders to understand project requirements and labeling specifications

  • Continuously improve annotation workflows to increase efficiency and reduce errors

Who You Are:

  • You have a personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps)

  • You have a keen eye for accuracy and strong attention to detail

  • You are motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work

  • You work well both independently and as part of a team, with strong time management and minimal need for oversight

  • You communicate clearly and are comfortable asking critical questions

  • You are comfortable with standard computer tools and data management systems

  • Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML

  • Prior experience with detail-oriented data work, QA, or repetitive precision tasks

Training you will receive in the role:

  • Annotation Tools - Training on internal software to efficiently label large datasets

  • Data Management - Training on data management practices to organize and maintain accurate, high-quality datasets

  • Quality Control - Training on QC methods to ensure data meets accuracy and consistency standards

  • Machine Learning Concepts - For interested candidates, an introduction to the basics of machine learning concepts and how annotation supports model training

Physical Requirements:

  • Computer Use: Typing, mouse work, and sitting and looking at a computer potentially for long periods of time

  • Hand Use: Regular hand use for various tasks

  • Hearing Requirements: Ability to hear alarms, signals, and verbal instructions

  • Lifting and Carrying: Ability to routinely lift, carry, and move materials up to 40 pounds

  • Sitting: Ability to sit for extended periods of time

  • Sitting or Standing: Ability to sit or stand for extended periods of time

  • Vision: Using vision aiding devices, as well as sitting in dark or dimly lit rooms with soft desk lighting

Hourly Range:

The hourly range for this position is $25 - $30. Actual compensation in this range will be based on a variety of non-discriminatory factors, including location, job level, prior experience, and skill set.

Candidates must be authorized to work in the United States.


Collectors uses e-Verify to validate your ability to work legally in the United States.


We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to people@collectors.com.


We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.


If you require an accommodation to apply or interview with us due to a disability or special need, please email people@collectors.com.


U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.


If you are based in California, you can read information for California residents here.